
Self Sparse Generative Adversarial Networks
Generative Adversarial Networks (GANs) are an unsupervised generative mo...
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Hybrid Trilinear and Bilinear Programming for Aligning Partially Overlapping Point Sets
Alignment methods which can handle partially overlapping point sets and ...
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TwoStage Single Image Reflection Removal with ReflectionAware Guidance
Removing undesired reflection from an image captured through a glass sur...
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AIM 2020 Challenge on Learned Image Signal Processing Pipeline
This paper reviews the second AIM learned ISP challenge and provides the...
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Progressive Training of Multilevel Wavelet Residual Networks for Image Denoising
Recent years have witnessed the great success of deep convolutional neur...
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AIM 2020 Challenge on Real Image SuperResolution: Methods and Results
This paper introduces the real image SuperResolution (SR) challenge tha...
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Discriminative Segmentation Tracking Using Dual Memory Banks
Existing templatebased trackers usually localize the target in each fra...
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PlugandPlay Image Restoration with Deep Denoiser Prior
Recent works on plugandplay image restoration have shown that a denois...
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Unpaired Learning of Deep Image Denoising
We investigate the task of learning blind image denoising networks from ...
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Learning Flowbased Feature Warping for Face Frontalization with Illumination Inconsistent Supervision
Despite recent advances in deep learningbased face frontalization metho...
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Component DivideandConquer for RealWorld Image SuperResolution
In this paper, we present a largescale Diverse Realworld image SuperR...
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Blind Face Restoration via Deep Multiscale Component Dictionaries
Recent referencebased face restoration methods have received considerab...
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Designing and Training of A Dual CNN for Image Denoising
Deep convolutional neural networks (CNNs) for image denoising have recen...
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Aligning Partially Overlapping Point Sets: an Inner Approximation Algorithm
Aligning partially overlapping point sets where there is no prior inform...
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CrossScale Internal Graph Neural Network for Image SuperResolution
Nonlocal selfsimilarity in natural images has been well studied as an ...
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Flexible Image Denoising with Multilayer Conditional Feature Modulation
For flexible nonblind image denoising, existing deep networks usually t...
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Learning ContextBased Nonlocal Entropy Modeling for Image Compression
The entropy of the codes usually serves as the rate loss in the recent l...
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NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This paper reviews the NTIRE 2020 challenge on real image denoising with...
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Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation
Deep learningbased object detection and instance segmentation have achi...
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Deep Adaptive Inference Networks for Single Image SuperResolution
Recent years have witnessed tremendous progress in single image superre...
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What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
Recent works have demonstrated that global covariance pooling (GCP) has ...
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Towards PhotoRealistic Virtual TryOn by Adaptively Generating↔Preserving Image Content
Image visual tryon aims at transferring a target clothing image onto a ...
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Deep Learning on Image Denoising: An overview
Deep learning techniques have obtained much attention in image denoising...
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ECANet: Efficient Channel Attention for Deep Convolutional Neural Networks
Channel attention has recently demonstrated to offer great potential in ...
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PerspectiveGuided Convolution Networks for Crowd Counting
In this paper, we propose a novel perspectiveguided convolution (PGC) f...
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Image Inpainting with Learnable Bidirectional Attention Maps
Most convolutional network (CNN)based inpainting methods adopt standard...
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Deep Conceptwise Temporal Convolutional Networks for Action Localization
Existing action localization approaches adopt shallow temporal convoluti...
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Neural Blind Deconvolution Using Deep Priors
Blind deconvolution is a classical yet challenging lowlevel vision prob...
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Multilevel Wavelet Convolutional Neural Networks
In computer vision, convolutional networks (CNNs) often adopts pooling t...
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Efficient and Effective ContextBased Convolutional Entropy Modeling for Image Compression
It has long been understood that precisely estimating the probabilistic ...
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Data Augmentation for Object Detection via Progressive and Selective InstanceSwitching
Collection of massive wellannotated samples is effective in improving o...
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Remove Cosine Window from Correlation Filterbased Visual Trackers: When and How
Correlation filters (CFs) have been continuously advancing the stateof...
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SpatioTemporal Filter Adaptive Network for Video Deblurring
Video deblurring is a challenging task due to the spatially variant blur...
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STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
Arbitrary attribute editing generally can be tackled by incorporating en...
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Deep Likelihood Network for Image Restoration with Multiple Degradations
Convolutional neural networks have been proven very effective in a varie...
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Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization
Compared with global average pooling in existing deep convolutional neur...
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DAVANet: Stereo Deblurring with View Aggregation
Nowadays stereo cameras are more commonly adopted in emerging devices su...
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Blind SuperResolution With Iterative Kernel Correction
Deep learning based methods have dominated superresolution (SR) field d...
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Learning ContentWeighted Deep Image Compression
Learningbased lossy image compression usually involves the joint optimi...
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Deep PlugandPlay SuperResolution for Arbitrary Blur Kernels
While deep neural networks (DNN) based single image superresolution (SI...
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Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation
In many practical transfer learning scenarios, the feature distribution ...
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Extreme Channel Prior Embedded Network for Dynamic Scene Deblurring
Recent years have witnessed the significant progress on convolutional ne...
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Progressive Image Deraining Networks: A Better and Simpler Baseline
Along with the deraining performance improvement of deep networks, their...
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Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
Hyperspectral imaging can help better understand the characteristics of ...
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Learning Symmetry Consistent Deep CNNs for Face Completion
Deep convolutional networks (CNNs) have achieved great success in face c...
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Model Inconsistent but Correlated Noise: Multiview Subspace Learning with Regularized Mixture of Gaussians
Multiview subspace learning (MSL) aims to find a lowdimensional subspa...
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Convolutional Neural Networks based Intra Prediction for HEVC
Traditional intra prediction methods for HEVC rely on using the nearest ...
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Unsupervised/Semisupervised Deep Learning for Lowdose CT Enhancement
Recently, deep learning(DL) methods have been proposed for the lowdose ...
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Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking
Correlation filter (CF) based trackers generally include two modules, i....
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Identity Preserving Face Completion for Large Ocular Region Occlusion
We present a novel deep learning approach to synthesize complete face im...
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